10 of 10 Remote scikit-learn Jobs in the Midlands

ML, data science, or applied statistics Solid programming skills in Python (or similar languages) Familiarity with data science or AI libraries such as Pandas, NumPy, TensorFlow, PyTorch, or Scikit-learn Strong problem-solving ability and analytical thinking A willingness to learn and work collaboratively in a team environment Nice to Have (But Not Required): Experience from a More ❯

ML, data science, or applied statistics Solid programming skills in Python (or similar languages) Familiarity with data science or AI libraries such as Pandas, NumPy, TensorFlow, PyTorch, or Scikit-learn Strong problem-solving ability and analytical thinking A willingness to learn and work collaboratively in a team environment Nice to Have (But Not Required): Experience from a More ❯

You Bring Degree in Computer Science, Engineering, or related technical field 2+ years’ experience in applied ML, data engineering, or AI systems development Strong skills in Python (pandas, scikit-learn, PyTorch/TensorFlow) and SQL Experience with cloud platforms and modern ML infrastructure (e.g. Databricks, MLflow, Docker, CI/CD) A practical mindset, curious, experimental, and focused on More ❯

You Bring Degree in Computer Science, Engineering, or related technical field 2+ years’ experience in applied ML, data engineering, or AI systems development Strong skills in Python (pandas, scikit-learn, PyTorch/TensorFlow) and SQL Experience with cloud platforms and modern ML infrastructure (e.g. Databricks, MLflow, Docker, CI/CD) A practical mindset, curious, experimental, and focused on More ❯

You Bring Degree in Computer Science, Engineering, or related technical field 2+ years’ experience in applied ML, data engineering, or AI systems development Strong skills in Python (pandas, scikit-learn, PyTorch/TensorFlow) and SQL Experience with cloud platforms and modern ML infrastructure (e.g. Databricks, MLflow, Docker, CI/CD) A practical mindset, curious, experimental, and focused on More ❯

preferably within high-performance or real-time environments. Proficiency in programming languages such as Python, R, or Java. Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Strong understanding of data analysis, statistical methods, and predictive modelling. Excellent problem-solving skills and attention to detail. Effective communication and collaboration abilities. Preferred Skills (desirable but More ❯

preferably within high-performance or real-time environments. Proficiency in programming languages such as Python, R, or Java. Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Strong understanding of data analysis, statistical methods, and predictive modelling. Excellent problem-solving skills and attention to detail. Effective communication and collaboration abilities. Preferred Skills (desirable but More ❯

technical audiences What You Bring Strong academic background (STEM or data/AI-related field) 2+ years’ experience in applied data science or ML Skilled in Python (pandas, scikit-learn; PyTorch/TensorFlow a plus) and SQL Hands-on experience with real-world, messy datasets Curious, analytical, and motivated by practical impact Why Join Work with a modern More ❯

methods using the latest AI and data science tools. The ideal candidate will have hands-on experience applying and deploying machine learning and AI tools like Python, TensorFlow, scikit-learn, or similar, to commercial pricing problems. Strong communication skills, modelling ability, and familiarity with data visualisation tools such as Power Bi or tableau is essential. The company offers More ❯

develop and deliver ML-powered solutions: Model Development : Assist in building and training machine learning and deep learning models using Python and ML frameworks like TensorFlow, PyTorch, or Scikit-learn Data Preparation : Work on collecting, cleaning, transforming, and analysing large datasets for training and testing models Feature Engineering : Support the design and selection of relevant input features to … graduate (or soon-to-be) in Computer Science, Data Science, Engineering, Mathematics, Statistics, Physics, or a related discipline Proficiency in Python and familiarity with ML libraries such as Scikit-learn, TensorFlow, or PyTorch Strong understanding of basic machine learning concepts and algorithms (e.g. regression, classification, decision trees) Good grasp of data structures, algorithms, and programming fundamentals. Analytical mindset More ❯